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Abstract: Deep multi-view clustering (MVC) has gained widespread attention as it can effectively mine consistent information from multiple views and improve clustering performance. However, view bias ...

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Investigators rely on particle characterization methods to gain a deeper understanding of key properties that influence both the manufacturing process and the quality of the final product. As ...

ABSTRACT: Managing psychiatric disorders, including depression, anxiety, and bipolar disorder, during pregnancy presents significant clinical challenges due to uncertainties surrounding medication ...

Abstract: Lesion morphology and quantity evaluation in computer tomography (CT) images are critical for precise disease diagnosis. Most existing methods employ machine learning-based methods to ...

With the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network analysis (WGCNA), which relies on pairwise gene relationships, struggles to capture ...

Using Research Capacity Enhancement to Develop and Implement National Standard-of-Care Treatment Protocols in Pakistan We extracted country-specific incidence and mortality rates for 33 cancers from ...

I'd like to know what would be the best approach to use cNMF with bulk RNA-Seq to get the cophenetic correlation plot. I understand we get the usage consensus matrix with shape samples x NMF factors, ...